Artificial Intelligence and Blockchain-enabled Secure Birth Certificate Management System

With the recent advancement in technology, forgery activities have become more sophisticated and challenging to detect. This necessitates the development of advanced technologies that can counteract the illicit practices over digital platforms to streamline their operation. This article confronts the birth certificate forgery activities to strengthen the document verification system. In that context, we proposed an artificial intelligence (AI) and blockchain-based reliable framework for securing an individual's birth records. For that, we utilized a standard birth record dataset comprised of tampered and non-tampered data, which is trained on different machine learning (ML) algorithms, such as K-nearest neighbours (KNN), decision tree (DT), logistic regression (LR), and perceptron (PT) for binary classification tasks. Further, the predicted data from the AI models are forwarded to the blockchain network for secure data storage. In that context, we first designed a smart contract that validates the legitimacy of the predicted data; upon validation, it is forwarded to the interplanetary file system (IPFS) for hash computation. Integrating IPFS improves the scalability and response time of the blockchain network. Lastly, the proposed work is evaluated by considering different evaluation metrics, such as training accuracy, statistics measures (precision, recall, and F1 score), blockchain transaction and execution cost. Integrating blockchain and AI addresses data security, confidentiality, and accuracy in birth registration, providing a robust solution against potential digital and offline threats.